Publications by authors named "U Demirel"

Breeding goals of potatoes for deep-frying purposes include high starch contents, good suitability for long-term storage, and low tendency to form reducing sugars as acrylamide precursors. Due to the extensive number of samples, an accurate analysis of acrylamide in French fries and its precursors in tubers is difficult to implement in the breeding process. Therefore, this study aimed to evaluate the suitability of NIRS measurements after minimal sample processing for the prediction of reducing sugar contents in the tubers or acrylamide contents in French fries.

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This paper presents a sentiment analysis combining the lexicon-based and machine learning (ML)-based approaches in Turkish to investigate the public mood for the prediction of stock market behavior in BIST30, Borsa Istanbul. Our main motivation behind this study is to apply sentiment analysis to financial-related tweets in Turkish. We import 17189 tweets posted as "#Borsaistanbul, #Bist, #Bist30, #Bist100″ on Twitter between November 7, 2022, and November 15, 2022, via a MAXQDA 2020, a qualitative data analysis program.

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Background: Bacterial diseases are a huge threat to the production of tomatoes. During infection intervals, pathogens affect biochemical, oxidant and molecular properties of tomato. Therefore, it is necessary to study the antioxidant enzymes, oxidation state and genes involved during bacterial infection in tomato.

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Background: Recent studies showed that the cooperation between c-SRC and EGFR is responsible for more aggressive phenotype in diverse tumors, including glioblastomas and carcinomas of the colon, breast, and lung. Studies show that combination of SRC and EGFR inhibitors can induce apoptosis and delay the acquired resistance to chemotherapy. Therefore, such combination may lead to a new therapeutic strategy for the treatment of EGFR-mutant lung cancer.

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CRISPR (clustered regularly interspaced short palindromic repeats)/Cas (CRISPR-associated) technology is a versatile genome editing tool that has been used to improve agriculturally important plant traits. Due to its precision, CRISPR/Cas9 is more effective than either conventional plant breeding methods or standard genetic engineering approaches for the rapid development of new varieties resilient to climate change. In addition to knowledge in tissue culture-based plant transformation, effective gene-specific single guide RNA (sgRNA) design, prediction of its off-target effect and utilization of vectors, promoters, Cas proteins and terminators is required for CRISPR/Cas9.

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